search for: rescaling

...code{\link{strwidth}} or \code{\link{strheight}} after a window has been rescaled gives dimensions in the original units, but only approximately as they are derived from the metrics of the rescaled fonts. > ## If we now repeat this procedure with device sizes small enough to avoid initial rescaling > ## the phenomenon disappears Right, as documented. > ############################################################################### > ## wrong row distances with windows(rescale="fit") > ## (looks like device initialization error) > ####################################...

...## width=16.53543, height=11.69291 as > fit["text", "x"]/R["din", "x"]*width [1] 0.1415101 > ## aprox. equal > fixed["text", "x"] [1] 0.1405518 ## If we now repeat this procedure with device sizes small enough to avoid initial rescaling ## the phenomenon disappears dev.off() dev.off() dev.off() width <- 9.2291667 height <- 6.3854167 windows(width=width, height=height, rescale="fixed") par("cex") plot(0:2,0:2, type="n") text(1,1,"abc\ndef", cex=2) text(1,0.5,"fixed", cex=2)...

Part 1) is basically that the initial rescaling is done if the window is too large to fit on the screen. That's true and obvious (no scrollbars) and intentional and on the help page. As ever, you need to report bugs on what is documented, not what you would like. This will be changed for 1.2.1, but was several hours' work. I have als...

Full_Name: Gerhard Thallinger Version: 2.3.0; 2.2.0 OS: Windows XP Submission from: (NULL) (212.183.54.87) Invoking windows() with the parameter rescale="fixed" followed by plot.new() or any other plot command causes very often the following error: windows(width=7, height=7, rescale="fixed");plot.new() Error in plot.new() : outer margins too large (fig.region too small)

Hi, Let say I have this matrix: > mat<-matrix(cbind(rnorm(20),rnorm(20)), ncol = 2) And I want to rescale values of column [,1] and [,2] using values from row 1 to 5, such that the values of row 1:5 should be rescale to the same amplitude (kinda like take the z-score of population from row 1:5). column 1 and 2 are two different samples need to be compared. I hope I made myself clear

Dear all, I am trying to create a 6-plot layout - 3 rows and 2 columns - so that only the top two plots have variable widths, all else with their default setting. Using "layout(matrix(c(1,2,3,4,5,6),3,2,byrow=T),widths=c(5,2))" rescales column #2 of all three rows, whereas I would like to rescale that of only row #1. Is there a simple way of doing this? Thanks, Manojit

Dear R-helpers, I don't see a difference between the following two plots of effect objects, which I understand should be different. What am I missing? require(doBy) require(effects) data(budworm) m1 <- glm(ndead/20 ~ sex + log(dose), data=budworm, weight=ntotal, family=binomial) m1.eff <- all.effects(m1) plot(m1.eff, rescale.axis = FALSE, selection = 2, main = 'rescale =

I am trying to run the R Script below, I have actually simplified it to just this part that is causing issues. When I run this script I continue to get an error that says "cannot rescale a constant/zero column to a unit variance". I cannot figure out what is going on here. I have stripped down my data file so it is more manageable so I can try to figure this out. The data.txt file

I thought about that star graph again, and realized that it would be quite a handy thing for visualizing cyclic data like time or compass direction. Here is a cleaned up (and renamed) version to do a polar plot that starts at the right and goes counterclockwise or a 24 hour clock plot that starts at the top and goes clockwise. There are probably other varieties that would be interesting. Jim

Dear Rusers, Recently, i saw the sentence "rescale the data into unit square" for several times. Could anybody tell me what it means,and give an example? Thanks very much! -- Kind Regards, Zhi Jie,Zhang , [[alternative HTML version deleted]]

...ing my data. This really works fine, but however I have to work after creating the support vectors and the parameters with unscaled data. So the problem is when I try to train the classifier with the option "scale=F" the result is quite poor, so training with scaled data is essential. The rescaling of the support vectors is of course quite an easy task, but what about the parameters coefs and the summand rho? Are they influenced by the optimisation with scaled data (I think they have to...)? And is there any possiblility to rescale these values? I appreciate your help! Greetings! Matthias --...

Dear R users, I am new to Latex and I am using the R package xtable to generate tables. I want to produce a table that is very long. in the landscape format, but I would need to rescale the table so that it fits in the page. xtable enables me to have the landscape format, but I cannot rescale it, and there seems to be a problem, if I use scalebox in Latex on my output produced with stable and the

I am a true R novice aonly using it for this function ;) I am trying to use color2D.matplot to form a image of my data using the following conditions color2D.matplot(fi1, c(dr), c(dg), c(db), nslices=7, ylab='Species', xlab="gene", show.legend=TRUE) where fi1 is my matrix. I have a matrix with 36 columns and 130 rows. most entries are 1 or 0 and I am trying to get this

Hi R-users, I would like to find the goodness of fit using Chi-suare test for my data below: xobs=observed data, xtwe=predicted data using tweedie, xgam=predicted data using gamma > xobs <- c(223,46,12,5,7,17) > xtwe <- c(217.33,39,14,18.33,6.67,14.67) > xgam <- c(224.67,37.33,12.33,15.33,5.33,15) > chisq.test(xobs, xtwe = xtwe, rescale.p = TRUE) Error in chisq.test(xobs,

I am using R version 2.12.1 on Win XP. I have done a heatmap with dendrogram using the heatmap.2 function. The heatmap basically looks like I want it to be, but the labels of the columns are cut off. I.e. the textual labels of the columns, although they are not very long (less than 12 characters), do not fit into the window and can not be read entirely. If I manually resize the graphics

Has anyone written utilities to do rescaled range analysis in R? Jeff -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch

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Dear Sir, Madam, or to whom this may concern, my name is Jan Failenschmid and I am a Ph.D. student at Tilburg University. For my project I have been looking into different types of kernel regression estimators and corresponding R functions. While comparing different functions I noticed that stats::ksmooth returned different estimates for the same bandwidth as other kernel regression estimators

Hello, How to use the function plot to produce graphs as Matlab? example in Matlab: a = [1,2,5,3,6,8,1,7]; b = [1,7,2,9,2,3,4,5]; plot(a,'b') hold plot(b,'r') How to make the same in R-package ? I am trying something thus: a <- c(1,2,5,3,6,8,1,7) c(1,7,2,9,2,3,4,5) -> b a;b plot(a,t="l",col="blue") plot(b,t="l",col="red")

Apologies in advance if my comments don't help, in which case, no need to respond, but I noted in ?ksmooth: "bandwidth the bandwidth. The kernels are scaled so that their quartiles (viewed as probability densities) are at ? 0.25*bandwidth." So, could this be a source of the discrepancies you cited? Given that ?ksmooth explicitly says: "Note: This function was implemented for